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SOFTWARE DEVELOPMENT FOR REAL TIME ANALYSIS OF IN VIVO SPECTRA

SOFTWARE DEVELOPMENT FOR REAL TIME ANALYSIS OF IN VIVO SPECTRA
体内光谱实时分析的软件开发
批准号:
7722783
负责人:
Ramachandra Rao Dasari
金额:
$2.86万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-01 至 2009-05-31

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项目成果

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中文摘要
翻译
这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金, 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 我们正在开发软件来实现多模式光谱分析,作为活组织检查的实时指南。FastEEM荧光分光计在不到一秒的时间内收集反射光谱和荧光光谱。然后对这些光谱进行校准,以校正入射光的线形和强度以及探测器的背景电荷。然后使用三模式光谱算法(漫反射、光散射和本征荧光光谱)来提取组织特定参数,例如核大小分布、NADH和胶原等生化成分以及折合散射系数。这些组织参数随后被用来将组织分类为正常组织或疾病组织。该软件将特别适用于每个组织,因为不同组织部位的建模有所不同。利用美国国家仪器公司的图形化编程环境LabVIEW结合MatLab实现了这些算法以及FastEEM荧光光谱仪的控制软件。我们的光谱分析算法只需不到一秒的时间即可进行组织表征。我们还收集并存储与每个测量相关联的误差。
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We are developing software to implement multi-modal spectroscopy as a real-time guide to biopsy. The FastEEM spectrofluorometer collects reflectance and fluorescence spectra in a fraction of a second. These spectra are then calibrated to correct for the lineshape and intensity of the incident light and the background charge of the detector. Trimodal spectroscopic algorithms (diffuse reflectance, light scattering, and intrinsic fluorescence spectroscopy) are then used to extract tissue specific parameters such as nuclear size distribution, biochemical constituents such as NADH and collagen, and reduced scattering coefficients. These tissue parameters are then used to classify tissue as normal or diseased. The software will be particularly adapted for each tissue as the modeling varies somewhat for various tissue sites. We use the graphical programming environment of National Instruments LabView in combination with Matlab to implement these algorithms along with the control software for the FastEEMspectrofluorometer. Our spectral analysis algorithms require less than one second for tissue characterization. We also collect and store the error associated with each measurement.
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